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Characteristics of atmospheric PM2.5 in stands and non-forest cover sites across urban-rural areas in Beijing, China

文献类型： 外文期刊

作者： Chen, Bo 1 ; Li, Shaoning 1 ; Yang, Xinbing 2 ; Lu, Shaowei 1 ; Wang, Bing 3 ; Niu, Xiang 3 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Forestry & Pomol Inst, Hort Ecol Environm Funct Promote Collaborat Innov, Beijing 100093, Peoples R China

2.Agr Univ Hebei, Coll Forestry, Baoding 071000, Hebei, Peoples R China

3.Chinese Acad Forestry, Inst Forest Ecol & Environm Protect, Beijing 100091, Peoples R China

关键词： Urban forest;Typical weather processes;PM2,(5);Vegetation;Non-vegetation

期刊名称：URBAN ECOSYSTEMS （ 影响因子：3.005； 五年影响因子：3.354 ）

ISSN： 1083-8155

年卷期： 2016 年 19 卷 2 期

页码：

收录情况： SCI

摘要： Monitoring air pollution at a city scale is essential for controlling urban air pollution in cities, especially megacities, in China. In this paper, data for 1 city center site and 5 paired (stands and non-forested) PM2.5 monitoring sites across urban-rural areas in Beijing were collected, and air PM2.5 and influential factors were analyzed. The results showed that the mean value of PM2.5 (February to December 2013) was lower in the stands (67.00 mu g m(-3)) than in the non-forested sites (78.02 mu g m(-3)). The diurnal variation was a bimodal double-dip type, and the average daily PM2.5 was lower in the vegetation areas than in the non-vegetation areas in both Changping Dingling (vegetation) and Changping town (non-vegetation) and showed day > night. In the typical pollution process, accompanied by an increase or decrease in PM2.5 and air quality index values, the higher the PM2.5, the lower the wind speed. PM2.5 in the vegetation areas lagged behind PM2.5 in the non-vegetation areas on typical sunny days but not on typical rainy and windy days. On typical sunny days, the variation of PM2.5 in the vegetation areas was less than that in the non-vegetation areas. PM2.5 did not change significantly under rainy conditions and before a rain, but the variation was smaller after a rain under the typical rainfall process; under typical windy conditions, the variation was not significant. Therefore, in the typical pollution process and under typical weather conditions, the annual and diurnal variations of PM2.5 were smaller in the vegetation areas than in the non-vegetation areas. The above results confirm that the forest has a strong ability to purify air and absorb PM2.5 particulate matter and that the air quality in vegetation areas is better than the air quality in non-forested areas.

  • 相关文献

[1]Research on the eco-purification function of urban forests in Beijing. Li, Shaoning,Lu, Shaowei,Pan, Qinghua,Zhang, Yuping,Chen, Bo,Yang, Xinbing. 2013

[2]Pollution Remediation by Urban Forests: PM2.5 Reduction in Beijing, China. Chen, Bo,Zhang, Hongjiang,Chen, Bo,Lu, Shaowei,Li, Shaoning,Zhao, Yunge,Yang, Xinbing,Wang, Bing. 2016

[3]Noise-Resistant Spectral Features for Retrieving Foliar Chemical Parameters. Zhang, Jingcheng,Liu, Peng,Huang, Yanbo,Li, Zhenhai,Yuan, Lin. 2017

[4]Relationships between soil respiration and photosynthesis-related spectral vegetation indices in two cropland ecosystems. Huang, Ni,Niu, Zheng,Zhan, Yulin,Xu, Shiguang,Wu, Chaoyang,Gao, Shuai,Hou, Xuehui,Cai, Dewen,Huang, Ni,Xu, Shiguang,Hou, Xuehui,Cai, Dewen,Tappert, Michelle C.,Huang, Wenjiang.

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